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Advanced R (Chapman & Hall/CRC the R) (Englisch) Taschenbuch – 28. Oktober 2014

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Produktbeschreibungen

Pressestimmen

"In Part IV of Advanced R, the exposition is very good in that every term and concept seems to be defined and explained well, with examples to illustrate main concepts. For any reader who is sufficiently advanced to want to read Part IV, it is clear and surprisingly easy to read. There is plenty of good general advice in these chapters on programming, profiling, optimizing code, etc. that would be applicable for other programming languages. The statements and examples in these chapters seem to be quite accurate and very clear. It is nice to use a book with examples at every step."
Maria Rizzo, Bowling Green State University

"Technically outstanding Enthusiastically recommended."
Vince Carey, Channing Division of Network Medicine, Harvard Medical School

"The material is technically correct clearly explained and carefully presented. The author has become one of the foremost authorities on this topic and is well known and appreciated throughout the entire R community. This is the great strength of the book and the primary reason it deserves to be published. It addresses a topic where there is already a growing number of books, but few have the depth, the technical accuracy, and the authority of this one."
Bill Venables, CSIRO"

"The material is technically correct clearly explained and carefully presented. The author has become one of the foremost authorities on this topic and is well known and appreciated throughout the entire R community. This is the great strength of the book and the primary reason it deserves to be published. It addresses a topic where there is already a growing number of books, but few have the depth, the technical accuracy, and the authority of this one."
Bill Venables, CSIRO

"Technically outstanding Enthusiastically recommended."
Vince Carey, Channing Division of Network Medicine, Harvard Medical School

"In Part IV of Advanced R, the exposition is very good in that every term and concept seems to be defined and explained well, with examples to illustrate main concepts. For any reader who is sufficiently advanced to want to read Part IV, it is clear and surprisingly easy to read. There is plenty of good general advice in these chapters on programming, profiling, optimizing code, etc. that would be applicable for other programming languages. The statements and examples in these chapters seem to be quite accurate and very clear. It is nice to use a book with examples at every step."
Maria Rizzo, Bowling Green State University"

"The book is aimed both at the veteran R user who wants to use the language to its full capabilities, and to the engineer who is entering R with experience in other languages. To either audience it is an invaluable, and irreplaceable, resource Among the treasures of the book is the introduction of several packages, many of them authored by Wickham, which will help experienced users get more out of the language." (Journal of the American Statistical Association)

"The material is technically correct clearly explained and carefully presented. The author has become one of the foremost authorities on this topic and is well known and appreciated throughout the entire R community. This is the great strength of the book and the primary reason it deserves to be published. It addresses a topic where there is already a growing number of books, but few have the depth, the technical accuracy, and the authority of this one."
Bill Venables, CSIRO

"Technically outstanding Enthusiastically recommended."
Vince Carey, Channing Division of Network Medicine, Harvard Medical School

"In Part IV of Advanced R, the exposition is very good in that every term and concept seems to be defined and explained well, with examples to illustrate main concepts. For any reader who is sufficiently advanced to want to read Part IV, it is clear and surprisingly easy to read. There is plenty of good general advice in these chapters on programming, profiling, optimizing code, etc. that would be applicable for other programming languages. The statements and examples in these chapters seem to be quite accurate and very clear. It is nice to use a book with examples at every step."
Maria Rizzo, Bowling Green State University"

Über den Autor und weitere Mitwirkende

Hadley Wickham is an Assistant Professor and the Dobelman FamilyJunior Chair in Statistics at Rice University. He is an active memberof the R community, has written and contributed to over 30 R packages, and won the John Chambers Award for Statistical Computing for his work developing tools for data reshaping and visualization. His research focuses on how to make data analysis better, faster and easier, with a particular emphasis on the use of visualization to better understand data and models.


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Format: Taschenbuch Verifizierter Kauf
Dieses Buch entspricht inhaltlich einem hervorragenden, leicht zu findenden, gleichnamigen Wiki von Hadley Wickham, das ich vor dem Kauf oft genutzt hatte und meiner Meinung nach eine wesentliche Lücke schließt: Es erklärt präzise die Konzepte der Programmiersprache "R", die in den zwanzig Jahren ihrer Entwicklung entstanden sind.

Das Buch ist nicht geeignet, um R zu lernen. Es ist auch keine Einführung oder Referenz in die unzähligen Packages, die rund um R entstanden sind. Es ist nur eine trockene Erklärung der Funktionsweise der Sprache.

Daher passt es auf Anwender, die die ersten Schritte und blutigen Nasen hinter sich haben und den Wunsch haben, die vielen, schwer durchschaubaren Aspekte von "R" endlich zu verstehen, um damit erfolgreicher zu arbeiten.
Kommentar 5 Personen fanden diese Informationen hilfreich. War diese Rezension für Sie hilfreich? Ja Nein Feedback senden...
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Format: Taschenbuch
Geht in erster Linie um Programmiertechniken an sich und nicht um die Durchführung statistischer Analysen. Listen von Funktionen oder Funktionen, die andere Funktionen als Argument nehmen und ähnliche Konzepte. ich hab ordentlich was gelernt!
Kommentar 3 Personen fanden diese Informationen hilfreich. War diese Rezension für Sie hilfreich? Ja Nein Feedback senden...
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Format: Kindle Edition Verifizierter Kauf
Advanced R is not for the R beginner (I recommend Coursera / Johns Hopkins for that). However, you do not have to be an expert or an experienced programmer to enjoy Hadley Wickham's book. For me it provided two things: it satisfied my curiosity about some of the details of R that are not necessary to understand to just use it. Also, it helped me in improving a Monte Carlo Simulation I am regularly running by re-implementing the most often called function in C++. I had no prior knowledge of C or C++ (I started programming in Turbo Pascal...), but if you have written an R function that heavily uses loops (and can't be rewritten using apply), Advanced R gives you enough to re-write it in C++ and speed up your code.
Also, it is written well, very readable, without the lame attempts at humor that so many programming texts feature ...
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Von WD am 26. Februar 2015
Format: Taschenbuch Verifizierter Kauf
Although all of the content is also available online - which by the way is an equally great resource, I nevertheless decided to purchase the hardcover for my desk as well, because nothing beats old-style paper every now and then ...
Not much more to say, besides that this book was written by one of, if not currently THE, top R guru out there - pure know-how distributed in well written form and comprehensive manner.
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Amazon.com: HASH(0x89b1706c) von 5 Sternen 35 Rezensionen
48 von 49 Kunden fanden die folgende Rezension hilfreich
HASH(0x89b210c0) von 5 Sternen Not how to do x, but how to understand R 20. Oktober 2014
Von Stephen Oates - Veröffentlicht auf Amazon.com
Format: Taschenbuch
tldr: An excellent work for intermediate to advanced users of R by one of the most prolific R package developers. Less a reference work and more a clearly written and concise course in how to understand and think about R programming more deeply.

Hadley Wickham is very well known to R users for his prolific number of packages (in a recent post called "10 R packages I wish I knew about earlier" 5 of them were produced by Wickham). This book started out as an online guide to how to write R and an attempt for Wickham to pass on the lessons he has learnt in his 10 years as a user (and producer) of R. To be clear this book is not about "how to use R to do x" in the sense of many other works. Packages are only discussed incidentally to explain how R itself is functioning in a particular case. Nor is it a reference work like Matloff's excellent The Art of R Programming: A Tour of Statistical Software Design where you would pull it off the shelf to quickly solve a problem or understand a specific issue. Instead "Advanced R" reads like a course in understanding how R works. The chapters start with overview questions to see if the chapter is applicable ("What are three properties of a vector, other than its contents?") followed by a chapter outline. There are questions after each sub-section ("What are the six types of atomic vector"). However one of the most impressive things about the work is both the readability and conciseness. Chapter 4 for example is list of functions and operators without definitions.

This may sound strange for a book aimed at pedagogy, but Wickham is aiming at not just imparting a knowledge of what a particular function does. Rather he is trying to impart a deeper level of knowledge about how R itself works. The closest analogy I can think of is that of his visualisation package "ggplot2". "ggplot2" is not just about producing a plot, but rather about understanding how static plot generation works in terms of its constituent parts (or at least one way of defining those parts). Initially its harder than "just" creating a plot, but once you become (somewhat) familiar you begin to appreciate the power of the package which is to let you pluck from the space of all plots, the particular plot you require (dplyr is another example of this). I am confident that as I work my way through this book and its exercises a similar appreciation of the power (and peccadilloes) of R will be gained.
25 von 27 Kunden fanden die folgende Rezension hilfreich
HASH(0x89b21114) von 5 Sternen Excellent, optional 7. Dezember 2014
Von Dimitri Shvorob - Veröffentlicht auf Amazon.com
Format: Taschenbuch
On first seeing the Amazon page of "Advanced R", I speculated that the book would build on "plyr" and "ggplot2" and go for "advanced" data manipulation and visualization. I was off the mark: the book mostly sticks to "base" R, and focuses on the advanced features of R language. In this regard, it resembles Norman Matloff's (fine) "Art of R Programming" - I would call "Advanced R" "Art of R Programming" on steroids, except that the book exhibits a thorough, methodical yet friendly approach not normally associated with steroid use. Much of "Advanced R" was frankly too advanced for me - for example, I skipped all of Chapter 8, talking about environments. However, I stopped and read carefully "Advanced R"'s discussion of (a) functional programming (closures, function-factory pattern, etc.), (b) object-oriented programming, (c) interfacing with C++ with Rcpp. Of these, functional-programming elements of R is an arrow that belongs in the quiver of any R programmer: should you decide not to invest in an "Advanced R" hard copy, make sure to read this material on Hadley Wickham's web site.

UPD. With the benefit of a little more life experience, I would say: don't spend your time on *any* R book. Python is the way to go.
31 von 37 Kunden fanden die folgende Rezension hilfreich
HASH(0x89b2154c) von 5 Sternen Good book for R programmers with some experience. 9. Oktober 2014
Von UncleCat - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
Usually I don't write a review because there are already plenty of good reviews exist. However, this is a quite new book and the only review from Mr. CharlesBabbage is, I should say, pretty unfair and biased. So I decided to write my own review.

I am an undergraduate student and have only two years of R experience. I have written some R programs and a simple package in different areas including time series, financial mathematics, data mining, bio-stat/math for my research project and course works. However, I never took a class in R and everything I learned is from Google and stackoverflow, or based on my previous experience in C/C++. That's why now I think I meet a bottleneck that I can write a usable program, but I can hardly write a beautiful and efficient program.

I learned the author Hadley Wickham from another book about R package which he also kindly posted on his website for free, and I really like his philosophy in programming. So I ordered this book to see if it can help me to overcome the bottleneck. Now I just finished reading the second chapter and have already learned a lot. I may provide more feedback as I read more, but from what I have read, I think it deserves a 5 star.
5 von 5 Kunden fanden die folgende Rezension hilfreich
HASH(0x89b21534) von 5 Sternen Outstanding 7. November 2014
Von Pedro H Moy - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
First time taking the time to write a review at Amazon (will keep it short and sweet). This book is outstanding, that is, it is a simple as it needs to be, to the point, with a very clear intent. Recommended for those with basic knowledge of R whom also have thought about and struggled with some of the quirkiness of R (yes you need to know what that means). This book bridges R concepts that you have come across before (hopefully) and let slip away as you struggled to get that project done on time. Easy read worth every page. Good luck.
4 von 4 Kunden fanden die folgende Rezension hilfreich
HASH(0x89b21900) von 5 Sternen A must have book on R 3. März 2015
Von FayeCoGa - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
This is not a book about analytics or big data, or application of statistics. It is all about the 'R' programming language. I consider it the quintessential R reference, comparable to the work of Dennis M. Ritchie and Brian W. Kernighan in their seminal presentation of 'The C Programming Language'. For those who want to give back to the community of 'R' and analytics with interesting packages, I would definitely recommend this as the goto book. Like "The C Programming Language" book, it is succinct and concise. Worth every penny!
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